Triple

T21337407
Position Surface form Disambiguated ID Type / Status
Subject Tychy E526085 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ST
ST is the vehicle registration code assigned to cars registered in the city of Tychy in southern Poland.
E1478956 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ST | Statement: [Tychy, vehicleRegistrationCode, ST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ST
Context triple: [Tychy, vehicleRegistrationCode, ST]
  • A. ST
    ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
  • B. ST
    ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
  • C. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • D. ST
    ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
  • E. ST
    ST is a constitutional category in India that designates historically disadvantaged indigenous communities eligible for affirmative action and special protections.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ST
Triple: [Tychy, vehicleRegistrationCode, ST]
Generated description
ST is the vehicle registration code assigned to cars registered in the city of Tychy in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ST
Target entity description: ST is the vehicle registration code assigned to cars registered in the city of Tychy in southern Poland.
  • A. ST
    ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
  • B. ST
    ST is the vehicle registration code used on license plates for vehicles registered in Croatia’s Split-Dalmatia County.
  • C. ST
    ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
  • D. ST
    ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
  • E. ST
    ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898da015081909e83fb62cf166b9a completed April 22, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5c260dc8190be7acb83b1c9c832 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a8aef61c8190985aad0637b8fadd completed May 17, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_6a09a915a57c81909b5b1bb7042957a0 completed May 17, 2026, 11:40 a.m.
Created at: April 16, 2026, 4:43 p.m.